Free Ebook Neural Network Design (Electrical Engineering), by Martin T. Hagan, Howard B Demuth, Mark Beale
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Neural Network Design (Electrical Engineering), by Martin T. Hagan, Howard B Demuth, Mark Beale
Free Ebook Neural Network Design (Electrical Engineering), by Martin T. Hagan, Howard B Demuth, Mark Beale
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The well-known, respected authors who developed the Neural Networks toolbox and the Fuzzy Systems Toolbox now bring you this text designed for electrical and computer engineering or computer science beginners. The book covers neuron model and network architectures, signal and weight vector spaces, linear transformations for neural networks. and performance surfaces and optimum points.
- Sales Rank: #1437595 in Books
- Brand: Brand: PWS Pub. Co.
- Published on: 1995-12-29
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 1.29" h x 8.23" w x 9.60" l,
- Binding: Hardcover
- 736 pages
- Used Book in Good Condition
About the Author
Ph.D. Stanford Univeristy
Most helpful customer reviews
0 of 0 people found the following review helpful.
Five Stars
By Amazon Customer
Great Book! Very understandable and clear. It is easy to read even without strong math knowledge.
4 of 5 people found the following review helpful.
A fantastic book!
By Justin E. Gottschlich
I had the pleasure of not only using this text for my neural network design graduate course, but also taking the course from one of the authors (Professor Howard Demuth).
This book is extremely well written. Being a PhD student in computer engineering, I have read many math books and advanced engineering books. Most of these books are informative, but difficult to read. Much of this is understandable because the topics are complex and explaining them in a very simple manner requires significantly more time. More diagrams, more examples, rewriting paragraphs to improve clarity, etc. This book tackles all of those issues perfectly!
Right now I am reading one of the other "classic" math texts and while I am already familiar with the topic, the reading is extremely difficult. Due to this, I recalled how easy it was to understand the neural network design text and wished my current author wrote more like them.
If you are interested in machine learning, in particular, neural networks, this is a superb book to get you started. Even the most complex mathematical topics in linear algebra and network design are explained so almost anyone can understand. Even if you do not have a strong mathematical background, you'll be able to understand almost all of the math.
Excellent book - (5/5 stars)!
16 of 16 people found the following review helpful.
Excellent book for understanding neural network innards.
By A Customer
I took a graduate neural networks course with Dr. Hagan who used this book. The book analyzes the contemporary algorithms for neural nets and shows why neural nets work (and don't work). MATLAB examples are on the supplemental disk but they can be coded easily in other languages. The convergence toward a solution is shown using 2D and 3D plots.
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